MétaCan
Menu
Retour à la cohorte
Enregistrement W2898198056 · doi:10.1111/bju.14494

Multiparametric <scp>MRI</scp> : an important tool to improve risk stratification for active surveillance in prostate cancer

2018· editorial· en· W2898198056 sur OpenAlexaff
Thenappan Chandrasekar, Marc Dall’Era, Derya Tilki

Notice bibliographique

RevueBritish Journal of Urology · 2018
Typeeditorial
Langueen
DomaineMedicine
ThématiqueProstate Cancer Diagnosis and Treatment
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineProstate cancerBiopsyMultiparametric MRIProstate biopsyGuidelineProstateRadiologyCancerInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Multiparametric MRI (mpMRI) has become an important adjunct in the management of localized prostate cancer (PCa), particularly in the active surveillance (AS) setting. Current guideline recommendations 1, 2 have recommended incorporation of mpMRI into AS protocols to improve patient stratification and reclassification. Bryant et al. 3, based on updated National Institute of Health and Care Excellence (NICE) guidelines 1, report on the effect of mpMRI incorporation into their institution's AS protocols, specifically focusing on the time to treatment and number of biopsies required to trigger treatment. In 2014, they replaced protocol-driven biannual prostate biopsies (PBs) with mpMRI ± cognitive targeted biopsy and systematic biopsy (TB). With a median follow-up of 2.4 years, they found that more men who underwent TB progressed to treatment than men who underwent PB alone (44% vs 37%; P = 0.003). The median number of biopsies (beyond the original diagnostic biopsy) required to trigger intervention was 1.55. Based on these results, the authors conclude that mpMRI-driven TB increases reclassification compared with protocol-driven PB. This is consistent with increasing evidence that mpMRI enhances, and sometimes, exceeds detection of clinically significant PCa over TRUS-guided prostate biopsy alone. The PROMIS study 4, a multicentre paired validation study that compared mpMRI to TRUS-guided biopsy in the diagnostic setting, found that mpMRI had better sensitivity (93% vs 43%; P < 0.001) and negative predictive value (89% vs 74%; P < 0.001) than TRUS-guided biopsy in detecting clinically significant cancer (defined as Gleason grade ≥4 + 3). While the concerns about foregoing a systematic biopsy at the time of targeted biopsy in that study were warranted, there was consensus that prebiopsy mpMRI increased the yield for clinically significant PCa. In the AS setting, unfortunately, randomized data are lacking; however, retrospective series and systematic reviews provide some guidance. In a systematic review, Schoots et al. 5. found that a positive mpMRI in the AS setting was associated with a higher risk of upgrading at the time of radical prostatectomy and a higher risk of reclassification at the time of confirmatory biopsy. Yet, a negative mpMRI did not preclude reclassification and upgrading, indicating the continued need for systematic biopsy. Recabal et al. 6. confirmed these conclusions in their retrospective assessment of an institutionally maintained prospective dataset. While MRI-targeted biopsies detected higher grade cancer in 23% of men, they missed higher grade clinically significant cancers in 17%, 12% and 10% of patients with mpMRI scores of 3, 4, and 5, respectively. This suggests that both targeted and systematic biopsy should be used for the optimal detection of clinically significant PCa in men on AS. The present study by Bryant et al. [3] reaffirms the value of mpMRI in the AS paradigm. Yet, some concerns about their study cohort and methodology should be noted. First, as the authors clearly note as a limitation, despite completing a targeted and systematic biopsy, all the samples were sent as a single specimen, precluding the ability to distinguish between targeted biopsy and systematic biopsy cores. As the absolute difference in the rate of progression to treatment between the PB and TB arms was only 7%, it is uncertain how much of that was attributable to the addition of targeted biopsy alone. Additionally, in a closer analysis of their study population, it should be noted that 35% of the patients had Gleason Grade Group 2 disease or higher at the time of inclusion, representing a higher-risk AS patient population than guideline recommendations. This may account for the higher rate of progression to treatment in this study cohort independent of grade progression – 24% of patients progressed to treatment based on PSA progression alone and an additional 10% were based on mpMRI findings alone. Lastly, the median number of biopsies required to trigger intervention was 1.55 and, for the majority of patients, this was just one additional biopsy beyond the original diagnostic biopsy. Guideline recommendations indicate the importance of a confirmatory biopsy to exclude Gleason sampling error 2; however, by definition, many of these patients were essentially upstaged or redirected to active treatment after a confirmatory biopsy. With 59% of the entire AS population never receiving a confirmatory biopsy beyond their original diagnostic biopsy and many progressing to treatment after a confirmatory biopsy, this study population may not reflect a well-selected low-risk PCa patient population for AS. Despite these limitations, the work by Bryant et al. 3. adds to the growing body of evidence supporting the use of mpMRI-targeted biopsies in addition to systematic biopsy to more accurately risk stratify men for AS, particularly at the time of diagnosis. It remains unknown how we can use mpMRI to individually tailor surveillance strategies or if mpMRI may ultimately replace surveillance biopsies over time. None declared.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,017
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,297
Écart entre enseignants0,287 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBritish Journal of UrologyMême sujetProstate Cancer Diagnosis and TreatmentTravaux en français237 207